def match(source_halos, target):
timestep = consistent_collection.ConsistentCollection(
source_halos).timestep
if target is None:
results = [None] * len(source_halos)
else:
from ... import relation_finding
if not isinstance(target, core.Base):
target = tangos.get_item(target,
core.Session.object_session(timestep))
results = relation_finding.MultiSourceMultiHopStrategy(
source_halos, target).all()
# if following assert fails, it might be duplicate links in the database which the
# current MultiSourceMultiHop implementation cannot de-duplicate:
assert len(results) == len(source_halos)
return np.array(results, dtype=object)
def setup():
global sim1, sim2, collection, h1, h2
testing.init_blank_db_for_testing()
session = db.core.get_default_session()
sim1 = tangos.core.simulation.Simulation("sim1")
sim2 = tangos.core.simulation.Simulation("sim2")
ts1 = tangos.core.timestep.TimeStep(sim1, "ts")
h1 = tangos.core.halo.Halo(ts1, 1, 1, 1, 1000, 0, 0, 0)
ts2 = tangos.core.timestep.TimeStep(sim2, "ts")
h2 = tangos.core.halo.Halo(ts2, 1, 1, 1, 1000, 0, 0, 0)
session.add_all([sim1, sim2, ts1, ts2, h1, h2])
sim1['consistent_property'] = 1.0
sim2['consistent_property'] = 1.0
sim1['inconsistent_property'] = 0.5
sim2['inconsistent_property'] = 1.0
collection = cc.ConsistentCollection([sim1, sim2])
def test_empty_collection():
with assert_raises(ValueError):
col = cc.ConsistentCollection([])
def test_set_pruning():
col2 = cc.ConsistentCollection([sim1, sim1, sim2])
assert len(col2._objects) == 2
def earliest(source_halos):
timestep = consistent_collection.ConsistentCollection(
source_halos).timestep.get_final(-1)
return match(source_halos, timestep)
def later(source_halos, num_steps):
timestep = consistent_collection.ConsistentCollection(
source_halos).timestep.get_next(num_steps)
return match(source_halos, timestep)
